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[Microbial biocenoss in chronic purulent otitis media]

N N Beloglazova, L I Vasil'eva, L E Bragina

    Vestnik Otorinolaringologii
    |November 26, 2010
    PubMed

    Insights

    This study investigated middle ear microflora in chronic purulent otitis media (CPOM). Virobacterial associations were common, highlighting the role of microbial factors in CPOM development.

    Area of Science:

    • Otolaryngology
    • Microbiology
    • Virology
    • Genetics

    Background:

    • Chronic purulent otitis media (CPOM) is a persistent middle ear infection.
    • Understanding the complex microflora involved in CPOM is crucial for effective treatment.
    • Previous research has indicated the involvement of various microorganisms in otitis media.

    Purpose of the Study:

    • To analyze the microflora composition in the middle ear of patients with CPOM.
    • To investigate the role of microbial persistence, pathogenicity, and antibiotic resistance in CPOM.
    • To determine the frequency of viral, bacterial, and fungal co-infections in CPOM.

    Main Methods:

    • Microbiological analysis of middle ear samples from 100 CPOM patients (aged 30-70).
    • Genetic analysis using Polymerase Chain Reaction (PCR) for microbial identification.
    • Estimation of the occurrence of herpes and papilloma viruses.

    Main Results:

    • Demonstrated the significant role of microbial persistence, pathogenicity, and antibiotic resistance in CPOM.
    • Two-component virobacterial associations were the most frequent mixed infections (46.2%).
    • Three-component associations (viruses with bacteria like Chlamydiae or Mycoplasmas) occurred in 34.6% of cases.
    • Yeast-like fungi of the genus Candida were identified in 19.2% of the studied associations.

    Conclusions:

    • Microflora plays a critical role in the pathogenesis of chronic purulent otitis media.
    • Virobacterial and multi-component microbial associations are common in CPOM.
    • The findings underscore the need for comprehensive diagnostic approaches to identify all causative agents in CPOM.

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